Identifying word categories for diffusion studies in an email social network

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006. === Includes bibliographical references (p. 72-73). === To better understand the sources of information workers' productivity in relation to email social network characteristics,...

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Main Author: Choe, Timothy (Timothy S.)
Other Authors: Erik Brynjolfsson and Sinan Aral.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2008
Subjects:
Online Access:http://hdl.handle.net/1721.1/41261
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spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-412612019-05-02T16:34:20Z Identifying word categories for diffusion studies in an email social network Choe, Timothy (Timothy S.) Erik Brynjolfsson and Sinan Aral. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006. Includes bibliographical references (p. 72-73). To better understand the sources of information workers' productivity in relation to email social network characteristics, we identify four distinct word categories in a corporate email corpus based on diffusive and informative characteristics. The four categories are "common - everyday", "common - specialized", "event", and "clique" words. Common - everyday words exhibit no diffusive or informative characteristics and are used regularly in everyday communication. Common - specialized words also exhibit no diffusive characteristics, but are hypothesized to be specialized vocabulary used infrequently in everyday communication. Event words are diffusive pieces of information that reach a majority of the population rapidly and are likely triggered by events. Clique words are diffusive pieces of information that reach only a small portion of the population and exhibit characteristics of exclusive, specialized knowledge shared among groups. These four categories can help future studies assess whether social networks determine information diffusion and whether information diffusion is associated with roductivity. by Timothy Choe. M.Eng. 2008-04-23T14:36:42Z 2008-04-23T14:36:42Z 2006 2006 Thesis http://hdl.handle.net/1721.1/41261 213415572 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 73 p. application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Electrical Engineering and Computer Science.
spellingShingle Electrical Engineering and Computer Science.
Choe, Timothy (Timothy S.)
Identifying word categories for diffusion studies in an email social network
description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006. === Includes bibliographical references (p. 72-73). === To better understand the sources of information workers' productivity in relation to email social network characteristics, we identify four distinct word categories in a corporate email corpus based on diffusive and informative characteristics. The four categories are "common - everyday", "common - specialized", "event", and "clique" words. Common - everyday words exhibit no diffusive or informative characteristics and are used regularly in everyday communication. Common - specialized words also exhibit no diffusive characteristics, but are hypothesized to be specialized vocabulary used infrequently in everyday communication. Event words are diffusive pieces of information that reach a majority of the population rapidly and are likely triggered by events. Clique words are diffusive pieces of information that reach only a small portion of the population and exhibit characteristics of exclusive, specialized knowledge shared among groups. These four categories can help future studies assess whether social networks determine information diffusion and whether information diffusion is associated with roductivity. === by Timothy Choe. === M.Eng.
author2 Erik Brynjolfsson and Sinan Aral.
author_facet Erik Brynjolfsson and Sinan Aral.
Choe, Timothy (Timothy S.)
author Choe, Timothy (Timothy S.)
author_sort Choe, Timothy (Timothy S.)
title Identifying word categories for diffusion studies in an email social network
title_short Identifying word categories for diffusion studies in an email social network
title_full Identifying word categories for diffusion studies in an email social network
title_fullStr Identifying word categories for diffusion studies in an email social network
title_full_unstemmed Identifying word categories for diffusion studies in an email social network
title_sort identifying word categories for diffusion studies in an email social network
publisher Massachusetts Institute of Technology
publishDate 2008
url http://hdl.handle.net/1721.1/41261
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